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Detection methods for malware variant using API call related graphs
- Han, Kyoung-Soo;
- Kim, In-Kyoung;
- Im, Eul Gyu
Citations
SCOPUS
7초록
Recently damages in users caused by malware have been increased. The malware presently propagated has been generated as variants by modifying it using various techniques and tools and that leads to significant increase in the number of malware. Thus, researches on various methods for detecting such malware have been conducted. In this paper, we proposed a method to detect malware variants through the measuring of similarity in control flow graphs related to API calls in malware.
키워드
API call related graph; Malware detection; Malware variants; API calls; Detection methods; In-control; Malware detection; Malwares; Damage detection; Computer crime
- 제목
- Detection methods for malware variant using API call related graphs
- 저자
- Han, Kyoung-Soo; Kim, In-Kyoung; Im, Eul Gyu
- 발행일
- 2011-12
- 유형
- Conference Paper
- 권
- 120 LNEE
- 페이지
- 607 ~ 611